Age-specific association between body mass index and depression: The Korea National Health and Nutrition Examination Survey 2014

Oh, Jaewon; Jh, Chae; Ts, Kim

doi:10.1038/ijo.2017.234

Cited by 17 publications

(19 citation statements)

References 32 publications

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“…However, there was an insignificant positive association between underweight and depression in general adults in Mainland China. Our results are inconsistent with the estimates reported in Japan, Korea, and Taiwan ( 30 , 13 , 35 , 36 ). These trends can be observed in different age populations, and underweight elderly adults are far more likely to be depressed ( 30 , 13 , 35 , 36 ).…”

Section: Discussioncontrasting

confidence: 99%

“…Our results are inconsistent with the estimates reported in Japan, Korea, and Taiwan ( 30 , 13 , 35 , 36 ). These trends can be observed in different age populations, and underweight elderly adults are far more likely to be depressed ( 30 , 13 , 35 , 36 ). Yet, the common population tends to have a distortion of body weight, which entitles thinness as a beauty symbol owing to social standard ( 37 ).…”

Section: Discussioncontrasting

confidence: 99%

“…Additionally, we defined prevalence of depression by using a Zung score equal to or greater than 45. In Qingdao, the overall prevalence of depression rate of 5.2% (5.5% in males and 5.0% in females) was lower than the documented rates in South Korea (overall 5.7%, 3.9% in males and 7.0% in females) ( 30 ). Additionally, a cross-sectional study of 512 891 Chinese adults, aged 30–79 years, had also revealed a lower pooled prevalence of depression compared with the current study (2.4%) ( 31 ).…”

Section: Discussionmentioning

confidence: 88%

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Association Between Different Indicators of Obesity and Depression in Adults in Qingdao, China: A Cross-Sectional Study

Cui

Sun

et al. 2018

Front. Endocrinol.

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Background: This study was designed to investigate the perceived relationship between body weight and depression risk in a Chinese population in Qingdao, China.Methods: A population-based cross-sectional survey was performed with 4,573 participants (between 35 and 74 years) from the year 2009 to 2012 in Qingdao, China. We applied the Zung self-rating depression scale to ascertain the level of depression in participants. The associations between different indicators of obesity [body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR)] and depression were assessed by logistic regression based on the Chinese criteria of obesity. Sensitivity analysis was done based on the Asian and WHO criteria of obesity.Results: The Zung scores for the 243 participants (5.2%) were over 45 and they were entitled as depression. Furthermore, multivariable logistic analyses revealed that being overweight [odds ratios (OR): 1.48, 95% confidence intervals [95% CI]: 1.08–2.03] and having abdominal obesity (WC category in Chinese criteria) (OR: 1.47, 95% CI: 1.08-2.00) were often associated with a higher risk for depression compared to normal weight subjects. Sensitivity analysis revealed that abdominal obesity (Asian criterion) (OR: 1.41, 95% CI: 1.03-1.91) was a significant risk factor for depression. Similarly, being overweight (WHO criterion) (OR: 1.39, 95% CI: 1.03-1.87) was an obvious risk factor for depression.Conclusion: Being overweight and having abdominal obesity (WC category) were found to be linked with a higher risk of depression. However, abdominal obesity (WHR category) was not associated with depression.

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Section: Discussioncontrasting

confidence: 99%

Section: Discussioncontrasting

confidence: 99%

Section: Discussionmentioning

confidence: 88%

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Association Between Different Indicators of Obesity and Depression in Adults in Qingdao, China: A Cross-Sectional Study

Cui

Sun

et al. 2018

Front. Endocrinol.

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“…21 Interestingly, a further study also found that obesity and depression may be inversely proportional in men. 22 Recent data from a large longitudinal study by Oh et al 23 There are many possible explanations for the findings of this study. First, lifestyle factors are likely to play a large role in the association observed.…”

Section: Adjusted Rates Of Depressionmentioning

confidence: 80%

“…Recent data from a large longitudinal study by Oh et al has also found that an overweight status (BMI 25‐29.99 kg/m 2 ) and mild obesity (BMI 30‐35 kg/m 2 ) were in fact protective against depression. This is in line with some previous findings that have led to an alternative hypothesis that a “U” shaped relationship between BMI and depression may exist.…”

Section: Discussionmentioning

confidence: 93%

Effect of body mass index on depression in a UK cohort of 363 037 obese patients: A longitudinal analysis of transition

et al. 2019

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With obesity levels increasing, it is important to consider the mental health risks associated with this condition to optimize patient care. Links between depression and obesity have been explored, but few studies focus on the risk profiles of patients across stratified body mass index (BMI) classes above 30 kg/m2. This study aims to determine the impact of BMI on depression risk in patients with obesity and to investigate trends of depression in a large cohort of British patients with BMI > 30 kg/m2. A nationwide primary care database, the Clinical Practice Research Datalink (CPRD), was analysed for diagnoses of obesity (BMI > 30 kg/m2). Obese patients were then sub‐classified into seven BMI categories. Primary health care–based records of patients entered in the CPRD were analysed. A total of 363 037 patients had a BMI ≥ 30 kg/m2; of these patients 97 392 (26.8%) also had a diagnosis of depression. Absolute event rates over time and hazard risk of depression were analysed by BMI category. On Cox regression analysis of time to development of depression, the cumulative hazard increased significantly and linearly across BMI groups (P < 0.001). Compared to those with BMI 30 to 35 kg/m2, patients with BMI 35 to 40 kg/m2 had a 20% higher risk of depression (hazard ratio [HR] 1.206, confidence interval [CI] 1.170‐1.424), and those with BMI > 60 kg/m2 had a 98% higher risk (HR 1.988, CI 1.513‐2.612). This study identified the prevalence and time course of depression in a cohort of obese patients in the United Kingdom. Findings suggest the risk of depression is directly proportional to BMI above 30 kg/m2. Therefore, clinicians should note higher BMI levels confer increased risk of depression.

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Does weight impact adolescent mental health? Evidence from China

Wang

Yang

2022

Health Economics

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In this paper, we examine the causal impact of weight on adolescent mental health. Using the China Family Panel Studies, we find significant negative effects of adolescent weight, instrumented by cohort‐level parental body mass index (BMI), on mental illness. In particular, a one standard deviation increase in adolescent BMI z‐score decreases the K6 score by 0.766 (or 0.232 standard deviations). This finding is contrary to recent evidence from adults. We find this contrast can partly be explained by the different impacts of adolescent weight on self‐image and social relationships. Unlike adults, heavy adolescents feel that they are popular among peers in China.

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Age-specific association between body mass index and depression: The Korea National Health and Nutrition Examination Survey 2014

Abstract: We found that overweight and mild obesity significantly lowered the risk of depression in elderly adults. These findings suggest that mild increases in BMI beyond the normal range may be a protective factor for depression in elderly Korean adults.

Cited by 17 publications

References 32 publications

Association Between Different Indicators of Obesity and Depression in Adults in Qingdao, China: A Cross-Sectional Study

Association Between Different Indicators of Obesity and Depression in Adults in Qingdao, China: A Cross-Sectional Study

Effect of body mass index on depression in a UK cohort of 363 037 obese patients: A longitudinal analysis of transition

Does weight impact adolescent mental health? Evidence from China

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